• DocumentCode
    2147206
  • Title

    Multi-Objective Decision Optimization of Construction Schedule Based on Improved TOPSIS

  • Author

    Huang, Jian-Wen ; Wang, Xing-Xia ; Zhou, Yi-Hong

  • Author_Institution
    Coll. of Economic & Manage., China Three Gorges Univ., Yichang, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    It is well known that construction project management involves such objectives as duration, cost, quality, resource leveling and so on. It is necessary to integrate and balance multiple objectives in management process. So this paper firstly analyzes single-objective optimization models such as duration-cost model, duration-quality model and resource leveling model and the relationship between duration, cost, quality and resource leveling. On basis of that, the paper established a multi-objective optimization model of duration, cost, quality and resource leveling by taking comprehensive optimization as the goal and integrating with multi-objective technique. For traditional weighting method has strong subjectivity, an improved global-optimization-based TOPSIS solution is presented. Good results are obtained when the model is employed in an engineering case, which verifies its superiority. It provides scientific basis for project decision-making and supports the decider powerfully.
  • Keywords
    construction industry; optimisation; project management; scheduling; construction project management; construction schedule; duration-cost model; duration-quality model; global-optimization-based TOPSIS solution; multiobjective decision optimization; project decision-making; resource leveling model; single-objective optimization models; Cost function; Decision making; Educational institutions; Engineering management; Optimal scheduling; Power engineering and energy; Power generation economics; Project management; Quality management; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5303790
  • Filename
    5303790